What’s New in the Acceldata Data Observability Platform?

Enterprises are rapidly increasing the time and money they spend to address poor data quality. Forrester reports that data teams spend 40% of their time fixing data quality issues, and Gartner estimates that companies waste almost $13M annually on poor data quality.

Data Observability solves large scale, complex data problems by giving data teams comprehensive insights into their enterprise data stacks, enabling them to improve data and pipeline reliability, platform performance, and spend efficiency.

Watch the webinar replay to learn from John Morrell, Sr. Dir. Product Marketing and Chris Cozzi, Dir, Product Management as they review how data observability delivers business value at scale in three key areas:

• ‍Spend Intelligence: Control and optimize your cloud data warehouse spend with usage guardrails, automated health checks, chargeback and budgeting, automated shut offs of anomalous queries and more ‍
• Data Reliability:  Get end-to-end visibility into your pipeline and lineage, debug data delays at their root, and leverage automated data policies to scale data quality with no code options‍
• Operational Intelligence: Prevent data outages, leverage automated actions to remediate issues, leverage recommendations for optimizing resource allocation and performance tuning

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